44 citations · 44 across the 4 of their papers we have counts for
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cs.AI2026
Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies
Chris Schneider, Philipp Schoenegger, Ben Bariach
Current model training approaches incorporate user information directly into shared weights, making individual data removal computationally infeasible without retraining. This pape…
cs.AI2023★ 44 cited
Sociotechnical Safety Evaluation of Generative AI Systems
Laura Weidinger, Maribeth Rauh, Nahema Marchal +10
Generative AI systems produce a range of risks. To ensure the safety of generative AI systems, these risks must be evaluated. In this paper, we make two main contributions toward e…